[IEEE CSS Italy Chapter Seminar Series] Pitfalls in Model Identification Examples from Glucose-Insulin Modelling - Dr. Andrea De Gaetano, Consiglio Nazionale delle Ricerche (Italy)
Speaker:
Dr. Andrea De Gaetano, Research Director, Istituto per la Ricerca e l'Innovazione Biomedica (IRIB) - Consiglio Nazionale delle Ricerche (CNR), Italy
Abstract:
Two important statistical parameter estimation pitfalls, examples of which can be found in the literature, are here reviewed and discussed. The first concerns the lack of model qualitative behaviour analysis before proceeding to the actual parameter estimation phase: this may give rise in the worst cases to aberrant model behaviour and to meaningless parameter estimates. The second concerns the use of interpolated noisy observations taken to represent the real input or driving variable into a model: this gives rise to the artifactual reproduction of meaningful features of the output variables, based on data errors and hence inherently non-reproducible. This is particularly dangerous when using noisy observations instead of model predictions in coupled systems. Examples of these pitfalls are drawn from existing glucose-insulin modelling literature and recommendations are made.
Speaker short bio:
Andrea De Gaetano is a Research Director at the CNR and currently Acting Director of the CNR-IRIB Institute in Palermo. His work has focused mainly on the mathematical modeling of physiological systems (particularly in the field of energy metabolism) and on parameter identification and estimation techniques. He is a medical doctor specialized in Emergency Surgery, holds a Master’s degree (USA) and a PhD (France) in Applied Mathematics, has a law degree and is qualified as a lawyer in Italy, and received an honorary degree in Biostatistics (Hungary). He is Adjunct Professor of Mathematical Statistics at the Department of Mathematics of Mahidol University in Bangkok and Distinguished Professor at Óbuda University, Budapest.
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- Corso Duca degli Abruzzi 24
- Torino, Piemonte
- Italy 10129
- Building: Dipartimento di Scienze Matematiche (DISMA), Cittadella
- Room Number: Buzano
Agenda
October 22, 2025
10.00 AM - 11.00 AM
Politecnico di Torino, Department of Mathematical Sciences (DISMA)
Buzano Room
